This is a submission for the Gemma 4 Challenge: Build with Gemma 4
In a previous article, I benchmarked the Gemma 4 E2B and E4B models to see whether they are actually usable on my old 2015 PC, using specific prompt benchmarks for trip planning.
In this article, we will look at an application powered by the Gemma 4 E2B model. It is based on insights from the previous benchmark and reuses several of the tested prompts.
E2B is not the smartest model when it comes to reasoning, but with a well-designed architecture, it can still fit very well into practical applications and provide useful results. That’s why I chose it for this app. Combined with its speed, it can also run on older or less capable hardware while still returning results in a reasonable time.
First, we will look at the application itself. Then we will go through the architecture of the solution and most importantly: how I used the Gemma 4 E2B model in the smart way.
